Causal Inference and learning
A curated reading list and tutorial roundup for learning causal inference and causal reasoning in machine learning.
Posts by Tags
causal inference
causality
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Communication, Coordination and Competition in Causal Problem Solving
A PhD research proposal exploring causal problem solving through multi-agent reinforcement learning, communication, and game theory.
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Causal Inference and learning
A curated reading list and tutorial roundup for learning causal inference and causal reasoning in machine learning.
chemoinformatics
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Review: Deep Learning In Drug Discovery
A detailed review of how deep learning is applied across drug discovery: property prediction, de novo design, and drug-target interaction...
computational-chemistry
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Review: Deep Learning In Drug Discovery
A detailed review of how deep learning is applied across drug discovery: property prediction, de novo design, and drug-target interaction...
computational-cognition
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Communication, Coordination and Competition in Causal Problem Solving
A PhD research proposal exploring causal problem solving through multi-agent reinforcement learning, communication, and game theory.
deep-learning
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Why fingerprint-MLP gradients don’t conflict, but graph-neural-net gradients do
How encoder architecture (fixed-fingerprint MLP vs learned graph network) changes gradient alignment between tasks in multi-task learning...
drug-discovery
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Why fingerprint-MLP gradients don’t conflict, but graph-neural-net gradients do
How encoder architecture (fixed-fingerprint MLP vs learned graph network) changes gradient alignment between tasks in multi-task learning...
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Review: Deep Learning In Drug Discovery
A detailed review of how deep learning is applied across drug discovery: property prediction, de novo design, and drug-target interaction...
gradient-surgery
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Why fingerprint-MLP gradients don’t conflict, but graph-neural-net gradients do
How encoder architecture (fixed-fingerprint MLP vs learned graph network) changes gradient alignment between tasks in multi-task learning...
multi-task-learning
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Why fingerprint-MLP gradients don’t conflict, but graph-neural-net gradients do
How encoder architecture (fixed-fingerprint MLP vs learned graph network) changes gradient alignment between tasks in multi-task learning...
mutli-agent
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Communication, Coordination and Competition in Causal Problem Solving
A PhD research proposal exploring causal problem solving through multi-agent reinforcement learning, communication, and game theory.
programming
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Understanding TensorFlow Control Flow: Deep Dive into tf.cond()
A deep dive into TensorFlow's tf.cond() control flow: how Switch and Merge work, with practical examples that demystify conditional graph...
reinforcement-learning
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Communication, Coordination and Competition in Causal Problem Solving
A PhD research proposal exploring causal problem solving through multi-agent reinforcement learning, communication, and game theory.
tensorflow
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Understanding TensorFlow Control Flow: Deep Dive into tf.cond()
A deep dive into TensorFlow's tf.cond() control flow: how Switch and Merge work, with practical examples that demystify conditional graph...